Wireless Hardware Engineer Intern - Summer 2027

Skydio; San Mateo (CA); On-site; USD 65,000 - 96,000; Part time

Benefits offered by this job

401K savings plan

Paid vacation time

Sick leave

Holiday pay

Job summary

Skydio is seeking a Summer Intern to support our Wireless Engineering team in design validation and data analysis. You will help build scalable data processing pipelines and cloud-based tools to analyze wireless validation data from bench and factory testing environments.

You will collaborate with RF and antenna engineers to improve data collection, processing, and visualization, accelerating product development and manufacturing readiness.

Qualifications

• Currently pursuing a Bachelor's (Upcoming junior or senior), Master's, or PhD in Electrical Engineering, Computer Engineering, or a related field.
• Strong fundamentals in wireless systems, RF engineering, or antenna theory.
• Proficiency in cloud-based development and data processing (e.g., Python, data pipelines, scripting, APIs).
• Experience working with large datasets and building scalable analysis tools.
• Familiarity with data visualization tools or frameworks is a plus.
• Comfortable working in a cross-functional engineering environment.
• Self-driven, detail-oriented, and eager to learn and contribute in a fast-paced setting.

Responsibilities

• Develop automated data processing pipelines to analyze RF and antenna validation data from lab bench testing.
• Build cloud-based tools and dashboards to streamline factory test data ingestion, processing, and visualization.
• Improve data quality checks and validation frameworks to ensure reliable wireless performance metrics.
• Partner with RF engineers to translate test requirements into scalable analysis workflows.
• Optimize existing scripts and infrastructure to improve efficiency and reproducibility of wireless performance analysis.
• Contribute to documentation and best practices for wireless data management across development and manufacturing.

Skills

Wireless systems

RF engineering

Antenna theory

Python

Data pipelines

APIs

Data visualization

Cloud development

Large datasets

Education

Bachelor's degree in Electrical Engineering/Computer Engineering or related

Master's or PhD in related field

Job description

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.

About the role:

We are looking for a highly motivated Summer Intern to support our Wireless Engineering team in design validation and data analysis. This role focuses on building scalable data processing pipelines and tools that enable efficient analysis of wireless validation data from both bench testing and factory testing environments.

You will work closely with RF and antenna engineers to improve how wireless performance data is collected, processed, and visualized. You will help accelerate product development and manufacturing readiness. This is a great opportunity for someone who enjoys working at the intersection of wireless systems and cloud-based data engineering.

How you'll make an impact (example projects below):

• Develop automated data processing pipelines to analyze RF and antenna validation data from lab bench testing.
• Build cloud-based tools and dashboards to streamline factory test data ingestion, processing, and visualization.
• Improve data quality checks and validation frameworks to ensure reliable wireless performance metrics.
• Partner with RF engineers to translate test requirements into scalable analysis workflows.
• Optimize existing scripts and infrastructure to improve efficiency and reproducibility of wireless performance analysis.
• Contribute to documentation and best practices for wireless data management across development and manufacturing.

What makes you a good fit:

• Currently pursuing a Bachelor's (Upcoming junior or senior), Master's, or PhD in Electrical Engineering, Computer Engineering, or a related field.
• Strong fundamentals in wireless systems, RF engineering, or antenna theory.
• Proficiency in cloud-based development and data processing (e.g., Python, data pipelines, scripting, APIs).
• Experience working with large datasets and building scalable analysis tools.
• Familiarity with data visualization tools or frameworks is a plus.
• Comfortable working in a cross-functional engineering environment.
• Self-driven, detail-oriented, and eager to learn and contribute in a fast-paced setting.

Compensation:

The hourly rate for this position is $47/hr for Undergrad, $53/hr for Graduate students, and $70/hr for PhD students*. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Interns are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria.

*Compensation for certain positions may vary based on the position's location.

At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.

For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/